2017 3rd International Conference on Computational Intelligence and Networks (CINE)最新文献

A Comprehensive Study of Malware Propagation Using Geometric Progression 利用几何级数的恶意软件传播的综合研究

2017 3rd International Conference on Computational Intelligence and Networks (CINE) Pub Date : 2017-10-01 DOI: 10.1109/CINE.2017.31

S. Tripathy, Sisira Kumar Kapat, R. Patro, Susant Kumar Das

引用次数: 0

Healthcare Information Management System Using Android OS 使用Android操作系统的医疗保健信息管理系统

2017 3rd International Conference on Computational Intelligence and Networks (CINE) Pub Date : 2017-10-01 DOI: 10.1109/CINE.2017.29

Anshul Chauhan, Sagar Verma, Shilpi Sharma, T. Choudhury

{"title":"Healthcare Information Management System Using Android OS","authors":"Anshul Chauhan, Sagar Verma, Shilpi Sharma, T. Choudhury","doi":"10.1109/CINE.2017.29","DOIUrl":"https://doi.org/10.1109/CINE.2017.29","url":null,"abstract":"Healthcare Companion is an android application which provide symptoms of many diseases along with their treatment and location of the doctor which is specialized for that particular diseases. Healthcare companion will also provide the diet which is best suited to recover from that particular illness. Along with all of these basic facilities the application will also provide an emergency button that if pressed will alert the nearest Hospital facility along with the hospital's location. Therefore this application can be used by anyone who has a smartphone with internet facility. This application will prove to be very useful in today's world where diseases are spreading like a wildfire. The application also consist of a Panic Alert feature which will send the location and emergency message to any five selected person if user is in any trouble. Along with that user can also determine disease from the symptoms and then can see if he/she can treat the disease on its own or need help of a doctor. To accomplish the location of the hospital as well as the user's location information both geocoding and reverse geocoding were used along with location API's","PeriodicalId":236972,"journal":{"name":"2017 3rd International Conference on Computational Intelligence and Networks (CINE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126139164","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Building Occupancy Detection Using Feed Forward Back-Propagation Neural Networks 基于前馈反向传播神经网络的建筑物占用检测

2017 3rd International Conference on Computational Intelligence and Networks (CINE) Pub Date : 2017-10-01 DOI: 10.1109/CINE.2017.12

Sushmita Das, A. Swetapadma, C. Panigrahi

引用次数: 3

Use of OPTICS and Supervised Learning Methods for Database Intrusion Detection 光学和监督学习方法在数据库入侵检测中的应用

2017 3rd International Conference on Computational Intelligence and Networks (CINE) Pub Date : 2017-10-01 DOI: 10.1109/CINE.2017.10

Sharmila Subudhi, T. Behera, S. Panigrahi

引用次数: 1

Principal Subspace Updation for Integrative Clustering of Multimodal Omics Data 多模态组学数据整合聚类的主子空间更新

2017 3rd International Conference on Computational Intelligence and Networks (CINE) Pub Date : 2017-10-01 DOI: 10.1109/CINE.2017.14

Aparajita Khan, P. Maji

{"title":"Principal Subspace Updation for Integrative Clustering of Multimodal Omics Data","authors":"Aparajita Khan, P. Maji","doi":"10.1109/CINE.2017.14","DOIUrl":"https://doi.org/10.1109/CINE.2017.14","url":null,"abstract":"Cancer subtyping is a key step towards the design of improved personalized therapies. Subtype discovery from large-scale multimodal data sets poses several challenges like data heterogeneity and high dimensionality. Moreover, existing integrative clustering algorithms tend to consider that each modality provides homogeneous and consistent subtype information, which may not be true for real life omics data sets. In this regard, this paper presents a fast algorithm to extract a low-rank joint subspace from the principal subspace of each individual modality such that the joint subspace best preserves the underlying subtype structure. The algorithm evaluates the quality of cluster information provided by each modality and the concordance of information shared among different modalities. This allows the algorithm to judiciously select the most relevant modalities and discard modalities providing noisy and inconsistent information while construction of the joint subspace. The performance of clustering in the joint subspace extracted by the proposed algorithm and its computational efficiency is compared with several existing integrative clustering approaches, on real life multimodal omics data sets. Moreover, survival analysis shows that the subtypes identified by the proposed approach have significantly different survival profiles.","PeriodicalId":236972,"journal":{"name":"2017 3rd International Conference on Computational Intelligence and Networks (CINE)","volume":"48 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122522137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Smart Cane: Better Walking Experience for Blind People 智能手杖:盲人更好的行走体验

2017 3rd International Conference on Computational Intelligence and Networks (CINE) Pub Date : 2017-10-01 DOI: 10.1109/CINE.2017.22

Tushar Sharma, Tarun Nalwa, T. Choudhury, S. C. Satapathy, Praveen Kumar

{"title":"Smart Cane: Better Walking Experience for Blind People","authors":"Tushar Sharma, Tarun Nalwa, T. Choudhury, S. C. Satapathy, Praveen Kumar","doi":"10.1109/CINE.2017.22","DOIUrl":"https://doi.org/10.1109/CINE.2017.22","url":null,"abstract":"Today innovation is enhancing every day in various viewpoints so as to give adaptable and safe development to the general population. Outwardly disabled individuals discover troubles recognizing obstacles before them, amid strolling in the road, which makes it unsafe. The smart cane has a system that empower them to see and differentiate the obstacles. Moving with the assistance of a white cane is a slippery errand for the outwardly tested. The smart cane is equipped with infrared and ultrasonic sensor that helps in detecting the obstacles. At the base of the smart cane there is a water sensor which detects and dodges puddles. When it recognizes any obstacle, it activates the sound system and the vibration motor. On detecting obstructions the sensor passes this information to the micro-controller. The micro-controller then procedures this information and computes if the object is sufficiently close. In the event that the object is not that close the circuit does nothing. In the event that the object is close the micro-controller sends a signal to sound a buzzer. GPS system provides the information about the current location in case of an emergency.","PeriodicalId":236972,"journal":{"name":"2017 3rd International Conference on Computational Intelligence and Networks (CINE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130634199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10

Application of Artificial Immune System Algorithms on Healthcare Data 人工免疫系统算法在医疗数据中的应用

2017 3rd International Conference on Computational Intelligence and Networks (CINE) Pub Date : 2017-10-01 DOI: 10.1109/CINE.2017.32

R. Das, Manisha Panda, Nirupama Mahapatra, S. Dash

引用次数: 1

Artificial Intelligence Techniques Used to Detect Object and Face in an Image: A Review 用于检测图像中物体和人脸的人工智能技术:综述

2017 3rd International Conference on Computational Intelligence and Networks (CINE) Pub Date : 2017-10-01 DOI: 10.1109/CINE.2017.20

Deepika P.U, Shivangi Chauhan, Neetu Narayan

引用次数: 2

Stock Prediction Using Functional Link Artificial Neural Network (FLANN) 基于功能链接人工神经网络(FLANN)的库存预测

2017 3rd International Conference on Computational Intelligence and Networks (CINE) Pub Date : 2017-10-01 DOI: 10.1109/CINE.2017.25

Abhinandan R. Gupta, D. K. Chaudhary, T. Choudhury

引用次数: 10

Symmetric Axis Based Off-Line Odia Handwritten Character and Numeral Recognition 基于对称轴的离线Odia手写字符和数字识别

2017 3rd International Conference on Computational Intelligence and Networks (CINE) Pub Date : 2017-10-01 DOI: 10.1109/CINE.2017.27

A. Sethy, P. Patra, S. Nayak, Pyari mohan Jena

{"title":"Symmetric Axis Based Off-Line Odia Handwritten Character and Numeral Recognition","authors":"A. Sethy, P. Patra, S. Nayak, Pyari mohan Jena","doi":"10.1109/CINE.2017.27","DOIUrl":"https://doi.org/10.1109/CINE.2017.27","url":null,"abstract":"Automation of handwritten character recognition is one of the challenging tasks in the problem domain of document analysis. However various writing style in orientation, shape and size are the key factor which affects the offline recognition system of Indian scripts. Here we have used a set of symmetry axes which are perceptually uniquely representing the handwritten Odia characters and numerals as patterns. This empirical model generates two symmetry axes such as row symmetry and column symmetry chords. In the subsequent phase we added up the mid points of both symmetric axis and along with we have reported the angular projection and distance between centre of the image and respective midpoints. Subsequently we have taken the mean values of horizontal and vertical symmetry angular projection values along with the mean of horizontal, vertical distance as the key feature values for the recognition system. We have analyzed overall recognition system with J48 Decision Tree which is considered as a classifier. All the simulation setup was build over upon standard database of NIT RKL Odia handwritten character, ISI Kolkata Odia numeral database. A 6 fold cross validation was performed in order to validate the recognition system. After all the successful simulation work we have noted down very good promising recognition accuracy from the J48 classifier such as 96.2% accuracy upon Odia numeral database and 95.6% upon Odia character database.","PeriodicalId":236972,"journal":{"name":"2017 3rd International Conference on Computational Intelligence and Networks (CINE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114195161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4